intro
Purpose
- Validate trialwise ub55 Stroop GLM high-vs-low contrast.
- Explore methods of modeling trial-wise parcel-mean beta estimates.
Notes on analyses
GLMs
- DMCC55B
- trialwise LS-A, fix-shaped BLOCK(1,1), Stroop
Contrasts (on regional means):
- Stroop: \((\text{PC50InCon} + \text{biasInCon} - \text{PC50Con} - \text{biasCon})/2\)
Plotting and statistical details:
quick look
raw data

trimmed models
comparison of effect sizes to untrimmed model

Examining between-subject variance in stroop (hi/lo) contrast

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Brains: between-subject variance in stroop (hi/lo) contrast
- standar deviations of level-two stroop contrasts displayed; from HLM fitted to trial-level data (see intro)
- colors are reversed (black = high, yellow = low) so large positive effects can be seen on white underlay.
Stroop effect: bias+PC50

crossed random effects: subject*item
comparison to runwise 1trpk models
difference maps
t-stats